Statistical methods for ranking differentially expressed genes

被引：0
|
作者：
Per Broberg
机构：
[1] AstraZeneca Research and Development Lund,Molecular Sciences
来源：
Genome Biology | / 4卷
关键词：
Additional Data File; Receiver Operating Characteristic; Receiver Operating Characteristic Curve; Group Label; Permutation Method;
D O I：
暂无
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学科分类号：
摘要：
In the analysis of microarray data the identification of differential expression is paramount. Here I outline a method for finding an optimal test statistic with which to rank genes with respect to differential expression. Tests of the method show that it allows generation of top gene lists that give few false positives and few false negatives. Estimation of the false-negative as well as the false-positive rate lies at the heart of the method.
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